scholarly journals A Note on the Measurement of Socioeconomic Inequalities in Life Years Lost by Cause of Death

Epidemiology ◽  
2019 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Aurélien Latouche ◽  
Per Kragh Andersen ◽  
Grégoire Rey ◽  
Margarita Moreno-Betancur
Biostatistics ◽  
2020 ◽  
Author(s):  
Dimitra-Kleio Kipourou ◽  
Maja Pohar Perme ◽  
Bernard Rachet ◽  
Aurelien Belot

Summary In population-based cancer studies, net survival is a crucial measure for population comparison purposes. However, alternative measures, namely the crude probability of death (CPr) and the number of life years lost (LYL) due to death according to different causes, are useful as complementary measures for reflecting different dimensions in terms of prognosis, treatment choice, or development of a control strategy. When the cause of death (COD) information is available, both measures can be estimated in competing risks setting using either cause-specific or subdistribution hazard regression models or with the pseudo-observation approach through direct modeling. We extended the pseudo-observation approach in order to model the CPr and the LYL due to different causes when information on COD is unavailable or unreliable (i.e., in relative survival setting). In a simulation study, we assessed the performance of the proposed approach in estimating regression parameters and examined models with different link functions that can provide an easier interpretation of the parameters. We showed that the pseudo-observation approach performs well for both measures and we illustrated their use on cervical cancer data from the England population-based cancer registry. A tutorial showing how to implement the method in R software is also provided.


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
C Basic ◽  
A.R Rosengren A ◽  
U.D Dahlstrom ◽  
M.E Edner ◽  
T.Z.S Zverkova Sandstrom ◽  
...  

Abstract Background There is a lack of data evaluating excess mortality risk (over that of the general population) and life-years lost in young patients with different heart failure (HF) phenotypes. Purpose To study excess risk for all-cause mortality in patients <55 years by their ejection fraction (EF) categories and estimate lost “life years” compared to the general population in Sweden. Methods All patients ≥18 years registered in the national quality register SwedeHF from 2003 to 2014 were included. Patients were divided into ≥55 years and <55 years. For each patient two controls without a HF diagnosis, matched for age, sex and county, were identified from the Swedish Population Register. The use of personal identification number enabled linkage to other registers. All somatic hospital discharge diagnoses are recorded in the National Patient Register (NPR). Time of death and causes of death were obtained from the Cause of Death Register. International Classification of Disease ICD 9 and ICD 10-codes for all co-morbidities were identified in NPR and for underlying causes of death during the observation period from the 1st January 2003 to 31st December 2015. Life expectancy tables from Statistics Sweden were used as reference to the conditional life expectancy for controls calculated at the age 20, 25, 30, 35 and 40 years. Life-years lost were calculated as the difference between conditional life expectancy and conditional survival for patients with HF <55 years presented as median. Results In total 60,962 patients, out of whom 3752 <55 years and 7425 controls <55 years were identified. Total observation time was 12 years; median 4.89 years. There were 2549 (67.9%) patients with ejection fraction (EF) <40% and 357 (9.5%) with EF >50%. Patients with HF<40% were more likely to be men (78.2% vs. 56.3%), to have ischemic heart disease (16.9% vs. 2.3%) and dilated cardiomyopathy (38.1% vs. 29.7%) whereas patients with EF >50% more often had hypertension (40.6% vs. 29.8%), hypertrophic cardiomyopathy (11.5% vs. 0.7%) and congenital heart disease (7.6% vs. 2.7%), all p>0.001. Cardiovascular death was the most common cause of death in all EF categories (about 55%). In a Cox proportional hazard model, patients with EF >50% had hazard ratio (HR) (95% CI) 10.6 (5.71–19.8), those with EF 40–49% 6.83 (4.43–10.5) and patients with EF<40% 7.97 (6.45–9.85) for all-cause mortality (NS). According to the conditional survival analysis patients aged 20, 25, 30, 35 and 40 years with EF<40% lost a median of 28.5, 26.6, 24.7, 22.2 and 20.1 “life years” whereas patients with EF>50% lost 32.3, 28.7, 26.1, 26.3 and 21.6 “life years” as presented in figure 1. Conclusion HF patients <55 years with EF>50% had different coexisting conditions and higher mortality risk, although not significant when compared to patients with EF <40%. Moreover, compared to the general population patients with EF>50% lost more life years than patients with EF<40%. Figure 1 Funding Acknowledgement Type of funding source: None


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarwar I. Mozumder ◽  
Mark J. Rutherford ◽  
Paul C. Lambert

Abstract Background Royston-Parmar flexible parametric survival models (FPMs) can be fitted on either the cause-specific hazards or cumulative incidence scale in the presence of competing risks. An advantage of modelling within this framework for competing risks data is the ease at which alternative predictions to the (cause-specific or subdistribution) hazard ratio can be obtained. Restricted mean survival time (RMST), or restricted mean failure time (RMFT) on the mortality scale, is one such measure. This has an attractive interpretation, especially when the proportionality assumption is violated. Compared to similar measures, fewer assumptions are required and it does not require extrapolation. Furthermore, one can easily obtain the expected number of life-years lost, or gained, due to a particular cause of death, which is a further useful prognostic measure as introduced by Andersen. Methods In the presence of competing risks, prediction of RMFT and the expected life-years lost due to a cause of death are presented using Royston-Parmar FPMs. These can be predicted for a specific covariate pattern to facilitate interpretation in observational studies at the individual level, or at the population-level using standardisation to obtain marginal measures. Predictions are illustrated using English colorectal data and are obtained using the Stata post-estimation command, standsurv. Results Reporting such measures facilitate interpretation of a competing risks analysis, particularly when the proportional hazards assumption is not appropriate. Standardisation provides a useful way to obtain marginal estimates to make absolute comparisons between two covariate groups. Predictions can be made at various time-points and presented visually for each cause of death to better understand the overall impact of different covariate groups. Conclusions We describe estimation of RMFT, and expected life-years lost partitioned by each competing cause of death after fitting a single FPM on either the log-cumulative subdistribution, or cause-specific hazards scale. These can be used to facilitate interpretation of a competing risks analysis when the proportionality assumption is in doubt.


2022 ◽  
Vol 17 (1) ◽  
pp. 18-29 ◽  
Author(s):  
Valery L Feigin ◽  
Michael Brainin ◽  
Bo Norrving ◽  
Sheila Martins ◽  
Ralph L Sacco ◽  
...  

Stroke remains the second-leading cause of death and the third-leading cause of death and disability combined (as expressed by disability-adjusted life-years lost – DALYs) in the world. The estimated global cost of stroke is over US$721 billion (0.66% of the global GDP). From 1990 to 2019, the burden (in terms of the absolute number of cases) increased substantially (70.0% increase in incident strokes, 43.0% deaths from stroke, 102.0% prevalent strokes, and 143.0% DALYs), with the bulk of the global stroke burden (86.0% of deaths and 89.0% of DALYs) residing in lower-income and lower-middle-income countries (LMIC). This World Stroke Organisation (WSO) Global Stroke Fact Sheet 2022 provides the most updated information that can be used to inform communication with all internal and external stakeholders; all statistics have been reviewed and approved for use by the WSO Executive Committee as well as leaders from the Global Burden of Disease research group.


2020 ◽  
Author(s):  
Sarwar Islam Mozumder ◽  
Paul Lambert ◽  
Mark Rutherford

Abstract We present various measures, specifically the expected life-years list due to a cause of death, that can be predicted for a specific covariate pattern. These can also be summarised at the population-level using standardisation to obtain marginal measures. The restricted mean survival time (RMST) measure can be obtained in the presence of competing risks using Royston-Parmar flexible parametric survival models (FPMs). Royston-Parmar FPMs can be fitted on either the cause-specific hazards or cumulative incidence scale in the presence of competing risks. An advantage of modelling within this framework for competing risks data is the ease at which other alternative predictions to the (cause-specific or subdistribution) hazard ratio can be obtained. The RMST estimate is one such measure. This has an attractive interpretation, especially when the proportionality assumption is violated. In addition to this, compared to similar measures, fewer assumptions are required and it does not require extrapolation. Furthermore, one can easily obtain the expected number of life-years lost, or gained, due to a particular cause of death, which is a further useful prognostic measure. We describe estimation of RMST after fitting a FPM on either the log-cumulative subdistribution, or cause-specific hazards scale. As an illustration of reporting such measures to facilitate interpretation of a competing risks analysis, models are fitted to English colorectal data.


2021 ◽  
Author(s):  
Sarwar Islam Mozumder ◽  
Mark Rutherford ◽  
Paul Lambert

Abstract Background Royston-Parmar flexible parametric survival models (FPMs) can be fitted on either the cause-specific hazards or cumulative incidence scale in the presence of competing risks. An advantage of modelling within this framework for competing risks data is the ease at which alternative predictions to the (cause-specific or subdistribution) hazard ratio can be obtained. Restricted mean survival time (RMST) is one such measure. This has an attractive interpretation, especially when the proportionality assumption is violated. Compared to similar measures, fewer assumptions are required and it does not require extrapolation. Furthermore, one can easily obtain the expected number of life-years lost, or gained, due to a particular cause of death, which is a further useful prognostic measure as introduced by Andersen. Methods We present various measures, including the expected life-years lost due to a cause of death, which can be predicted for a specific covariate pattern to facilitate interpretation in observational studies. Summaries are also provided at the population-level using standardisation to obtain marginal measures. RMST is obtained in the presence of competing risks using Royston-Parmar FPMs. Predictions are illustrated using English colorectal data and are obtained using the Stata post-estimation command, standsurv. Results Reporting such measures facilitate interpretation of a competing risks analysis, particularly when the proportional hazards assumption is not appropriate. Standardisation provides a useful way to obtain marginal estimates to make absolute comparisons between two covariate groups. Predictions can be made at various time-points and presented visually for each cause of death to better understand the overall impact of different covariate groups. Conclusions We describe estimation of RMST and expected life-years lost, both partitioned by each competing cause of death after fitting a single FPM on either the log-cumulative subdistribution, or cause-specific hazards scale. These can be used to facilitate interpretation of a competing risks analysis when the proportionality assumption is in doubt.


2020 ◽  
Author(s):  
Sarwar Islam Mozumder ◽  
Mark Rutherford ◽  
Paul Lambert

Abstract We present various measures, specifically the expected life-years list due to a cause of death, that can be predicted for a specific covariate pattern to facilitate interpretation in observational studies. These can also be summarised at the population-level using standardisation to obtain marginal measures. The restricted mean survival time (RMST) measure can be obtained in the presence of competing risks using Royston-Parmar flexible parametric survival models (FPMs). Royston-Parmar FPMs can be fitted on either the cause-specific hazards or cumulative incidence scale in the presence of competing risks. An advantage of modelling within this framework for competing risks data is the ease at which other alternative predictions to the (cause-specific or subdistribution) hazard ratio can be obtained. The RMST estimate is one such measure. This has an attractive interpretation, especially when the proportionality assumption is violated. In addition to this, compared to similar measures, fewer assumptions are required and it does not require extrapolation. Furthermore, one can easily obtain the expected number of life-years lost, or gained, due to a particular cause of death, which is a further useful prognostic measure. We describe estimation of RMST after fitting a FPM on either the log-cumulative subdistribution, or cause-specific hazards scale. As an illustration of reporting such measures to facilitate interpretation of a competing risks analysis, models are fitted to English colorectal data.


2021 ◽  
pp. 49-51
Author(s):  
Narayanaswamy Venketasubramanian ◽  
Yee Mon Khine ◽  
Ohnmar Ohnmar ◽  
Myat Po Po Kyaw Khin ◽  
Min Thit Win

Myanmar is home to over 51 million people. The age- and sex-standardized mortality rate due to stroke is 165.4/100,000, while the rate of age- and sex-standardized disability-adjusted life years lost due to stroke is 2971.3/100,000. The prevalence of stroke among adults aged 40–99 years is 1.5%. Stroke is the leading cause of morbidity and mortality and comprises 20% of the neurological workload. There are only 10 stroke units in the whole country. Doctors are aware of the importance of hypertension in stroke prevention and the need for physiotherapy after stroke, but, until recently and in rural areas, they also tend to use steroids and neuroprotectants, and lower blood pressure aggressively acutely after stroke; antiplatelets are not widely used. Thrombolysis service is available at some tertiary centers but mechanical thrombectomy is not yet available.


2021 ◽  
pp. tobaccocontrol-2021-056604
Author(s):  
David T Levy ◽  
Rafael Meza ◽  
Zhe Yuan ◽  
Yameng Li ◽  
Christopher Cadham ◽  
...  

IntroductionThe US Food and Drug Administration most recently announced its intention to ban menthol cigarettes and cigars nationwide in April 2021. Implementation of the ban will require evidence that it would improve public health. This paper simulates the potential public health impact of a ban on menthol in cigarettes and cigars through its impacts on smoking initiation, smoking cessation and switching to nicotine vaping products (NVPs).MethodsAfter calibrating an established US simulation model to reflect recent use trends in cigarette and NVP use, we extended the model to incorporate menthol and non-menthol cigarette use under a status quo scenario. Applying estimates from a recent expert elicitation on the behavioural impacts of a menthol ban, we developed a menthol ban scenario with the ban starting in 2021. We estimated the public health impact as the difference between smoking and vaping-attributable deaths and life-years lost in the status quo scenario and the menthol ban scenario from 2021 to 2060.ResultsAs a result of the ban, overall smoking was estimated to decline by 15% as early as 2026 due to menthol smokers quitting both NVP and combustible use or switching to NVPs. These transitions are projected to reduce cumulative smoking and vaping-attributable deaths from 2021 to 2060 by 5% (650 000 in total) and reduce life-years lost by 8.8% (11.3 million). Sensitivity analyses showed appreciable public health benefits across different parameter specifications.Conclusions and relevanceOur findings strongly support the implementation of a ban on menthol in cigarettes and cigars.


2019 ◽  
Vol 206 ◽  
pp. 284-290 ◽  
Author(s):  
Thomas Munk Laursen ◽  
Oleguer Plana-Ripoll ◽  
Per Kragh Andersen ◽  
John J. McGrath ◽  
Anita Toender ◽  
...  
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